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小棘波的源定位:低分辨率电磁断层成像(LORETA)显示出两个不同的皮质源。

Source localization of small sharp spikes: low resolution electromagnetic tomography (LORETA) reveals two distinct cortical sources.

作者信息

Zumsteg Dominik, Andrade Danielle M, Wennberg Richard A

机构信息

Neurology Department, Krembil Neuroscience Centre, Toronto Western Hospital, University of Toronto, 399 Bathurst Street, Toronto Ont., Canada M5T 2S8.

出版信息

Clin Neurophysiol. 2006 Jun;117(6):1380-7. doi: 10.1016/j.clinph.2006.02.019. Epub 2006 Apr 27.

Abstract

OBJECTIVE

We have investigated the cortical sources and electroencephalographic (EEG) characteristics of small sharp spikes (SSS) by using statistical non-parametric mapping (SNPM) of low resolution electromagnetic tomography (LORETA).

METHODS

We analyzed 7 SSS patterns (501 individual SSS) in 6 patients who underwent sleep EEG studies with 29 or 23 scalp electrodes. The scalp signals were averaged time-locked to the SSS peak activity and subjected to SNPM of LORETA values.

RESULTS

All 7 SSS patterns (mean 72 individual SSS, range 11-200) revealed a very similar and highly characteristic transhemispheric oblique scalp voltage distribution comprising a first negative field maximum over ipsilateral lateral temporal areas, followed by a second negative field maximum over the contralateral subtemporal region approximately 30 ms later. SNPM-LORETA consistently localized the first component into the ipsilateral posterior insular region, and the second component into ipsilateral posterior mesial temporo-occipital structures.

CONCLUSIONS

SSS comprise an amalgam of two sequential, distinct cortical components, showing a very uniform and peculiar EEG pattern and cortical source solutions. As such, they must be clearly distinguished from interictal epileptiform discharges in patients with epilepsy.

SIGNIFICANCE

The awareness of these peculiar EEG characteristics may increase our ability to differentiate SSS from interictal epileptiform activity. The finding of a posterior insular source might serve as an inspiration for new physiological considerations regarding these enigmatic waveforms.

摘要

目的

我们通过使用低分辨率电磁断层成像(LORETA)的统计非参数映射(SNPM)来研究小棘波(SSS)的皮质来源和脑电图(EEG)特征。

方法

我们分析了6例接受睡眠脑电图研究的患者中的7种SSS模式(501个单个SSS),这些患者使用了29个或23个头皮电极。将头皮信号在时间上锁定到SSS的峰值活动并进行平均,然后对LORETA值进行SNPM分析。

结果

所有7种SSS模式(平均72个单个SSS,范围11 - 200)均显示出非常相似且高度特征性的跨半球斜向头皮电压分布,包括同侧外侧颞区的第一个负向场最大值,随后约30毫秒在对侧颞下区域出现第二个负向场最大值。SNPM-LORETA始终将第一个成分定位到同侧后岛叶区域,第二个成分定位到同侧后内侧颞枕结构。

结论

SSS由两个连续且不同的皮质成分组成,呈现出非常均匀且独特的脑电图模式和皮质源解决方案。因此,它们必须与癫痫患者的发作间期癫痫样放电明确区分。

意义

了解这些独特的脑电图特征可能会提高我们区分SSS与发作间期癫痫样活动的能力。后岛叶来源的发现可能会激发对这些神秘波形的新生理思考。

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